International Journal of Lightweight Materials and Manufacture最新文献_第6页

Natural fibre composite selection for two-stroke marine engine under-piston door using hybrid AHP and TOPSIS methods 基于AHP和TOPSIS的二冲程船用发动机活塞下门天然纤维复合材料选择

Q1 Engineering

International Journal of Lightweight Materials and Manufacture

Pub Date : 2025-01-01 DOI: 10.1016/j.ijlmm.2024.07.006

Ru Vern Yiow, Muhd Ridzuan Mansor, Mohd Adrinata Shaharuzaman

This article presents the selection process of natural fibre composites (NFC) material for the application of a two-stroke marine engine under-piston door (UPD) utilising a combination of the Analytical Hierarchy Process (AHP) with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). NFC consists primarily of a biopolymer enforced with natural fibres. The selection of the best biopolymer and natural fibre was based upon key parameters, which represented the selection criteria. Natural fibre was selected based on four criteria; density, Tensile Strength (TS), Young's modulus (YM) and price. Biopolymer was selected based on an additional two criteria; flammability and melting point. A pairwise comparison was made for each criterion, establishing a matrix for the determination of the weightage using the AHP. This weightage was then applied into the TOPSIS method for the final ranking of natural fibre and biopolymer candidates. With a score of 0.870 in relative closeness to ideal solution, flax was determined to be the best natural fibre. Poly (lactic acid) obtained a score of 0.801 as the best biopolymer. Through this article, a synergy between AHP and TOPSIS methods were demonstrated in the selection and ranking of natural fibre and biopolymer as constituents of NFC for the potential application as alternative material for marine machinery application.

本文介绍了利用层次分析法（AHP）和理想解决方案相似性偏好排序技术（TOPSIS）相结合的方法，为二冲程船用发动机活塞下门（UPD）选择天然纤维复合材料（NFC）材料的过程。NFC主要由天然纤维强化的生物聚合物组成。最佳生物聚合物和天然纤维的选择是基于关键参数，这些参数代表了选择标准。天然纤维的选择基于四个标准；密度，抗拉强度（TS），杨氏模量（YM）和价格。生物聚合物是根据另外两个标准选择的；易燃性和熔点。对每个标准进行两两比较，利用层次分析法建立确定权重的矩阵。然后将该权重应用于TOPSIS方法，以对天然纤维和生物聚合物候选物进行最终排名。与理想溶液相对接近的分数为0.870，亚麻是最佳的天然纤维。聚乳酸得分为0.801，是最佳的生物聚合物。通过本文，AHP和TOPSIS方法之间的协同作用证明了天然纤维和生物聚合物作为NFC成分的选择和排序，作为船舶机械应用的替代材料的潜在应用。

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引用次数: 0

Achieving high precision and productivity in laser machining of Ti6Al4V alloy: A comprehensive study using a n-predictor polynomial regression model and PSO algorithm 实现Ti6Al4V合金激光加工的高精度和高生产率：基于n-预测多项式回归模型和粒子群算法的综合研究

Q1 Engineering

International Journal of Lightweight Materials and Manufacture

Pub Date : 2025-01-01 DOI: 10.1016/j.ijlmm.2024.09.001

Avinash Chetry , Sandesh Sanjeev Phalke , Arup Nandy

Ti-6Al-4V, the Titanium alloy, has significant utilizations in aerospace, automotive, and marine sectors for its low density and high strength at elevated temperature. But its chemical activity and low thermal conductivity inhibits its machining by conventional method. Nd: YAG laser beam machining (LBM) finds extensive use in rapid and precise cutting of Ti6Al4V. This study has examined the influences of various LBM machining variables, including laser power, gas pressure and stand-off distance, in cutting 5 mm thick Ti-6Al-4V plate. In assessing the effectiveness and performance of the LBM process, three response functions—surface roughness, angle of kerf, and material removal rate—have been designated. From the experimental data, different regression models have been established to estimate these response functions in terms of the machining parameters. Based on R² score and RMSE, multi-dimensional polynomial regression is decided as the most suitable regression model. Subsequently, the Particle Swarm Optimization technique has been applied to identify the optimal machining parameters for reducing angle of kerf and surface roughness, while increasing material removal rate. Three individual single-objective functions underwent optimization, along with a multi-objective function. Furthermore, experimental verification was conducted for the optimal input parameters in the single-objective as well as the multi-objective optimization scenarios, resulting in an accuracy of 97% and 98%, respectively. Such a close agreement emphasizes the accuracy of the developed regression model as well as it signifies the reliability and efficacy of the optimization technique.

Ti-6Al-4V钛合金因其在高温下的低密度和高强度，在航空航天、汽车和船舶领域有着重要的应用。但它的化学活性和低导热性阻碍了传统方法的加工。Nd: YAG激光束加工（LBM）广泛应用于Ti6Al4V的快速、精密切割。本研究考察了激光功率、气体压力和离体距离等LBM加工变量对5 mm厚Ti-6Al-4V板切割的影响。在评估LBM工艺的有效性和性能时，指定了三个响应函数——表面粗糙度、切口角度和材料去除率。根据实验数据，建立了不同的回归模型来估计这些响应函数对加工参数的影响。基于R2评分和RMSE，确定多维多项式回归为最合适的回归模型。在此基础上，应用粒子群优化技术确定了减小切口角度和表面粗糙度，同时提高材料去除率的最佳加工参数。对三个单目标函数和一个多目标函数进行了优化。并对单目标和多目标优化场景下的最优输入参数进行了实验验证，准确率分别达到97%和98%。这种紧密的一致性强调了所建立的回归模型的准确性，也表明了优化技术的可靠性和有效性。

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引用次数: 0

Microstructural modification, mechanical properties, and wear behaviour of aged Al–Si–Mg/Si3N4 composites for aerospace applications 用于航空航天应用的老化铝硅镁/Si3N4 复合材料的微结构改性、力学性能和磨损行为

Q1 Engineering

International Journal of Lightweight Materials and Manufacture

Pub Date : 2025-01-01 DOI: 10.1016/j.ijlmm.2024.07.005

Chinmay Mundayadan Chandroth , Jithin Vishnu , Bassiouny Saleh , K.R. Ananthakrishnan , Deva Narayan A , Aswin R. Kurup , Sidharth S , Karthik V. Shankar

The main objective of the present research is to probe how ageing time influences the morphological, mechanical, and wear behaviour of stir cast Al–Si–Mg alloy, reinforced with 10 wt% Si₃N₄ particles subsequently heat treated in T₆ condition. The findings reveal that the presence of Si₃N₄ reinforcements, followed by the heat treatment, enhances the mechanical and tribological properties of the composite. The ensuing mechanical properties show significant improvement prior to aging heat treatment (180 °C/4h), reaching a hardness of 120.8 HV (45 % increase) and tensile strength of 275 MPa (50 % increment), respectively compared to as-cast composite. Fractography reveals dimples, transgranular cleavage surfaces, cracks, and micro-ploughing. Among the samples tested, the composite aged for 4 h (180 °C/4h, ASN-4) demonstrates the lowest wear rate. Abrasive and adhesive wear in combination is the primary wear mechanism in these samples. Overall, this research provides insights for research endeavors in manufacturing various components in the aerospace industry.

本研究的主要目的是探讨时效时间如何影响搅拌铸造Al-Si-Mg合金的形态、力学和磨损行为，并在T6条件下进行热处理，增强10 wt%的Si3N4颗粒。结果表明，Si3N4增强剂的存在和热处理提高了复合材料的力学性能和摩擦学性能。时效热处理（180°C/4h）前，复合材料的力学性能得到显著改善，硬度达到120.8 HV（提高45%），抗拉强度达到275 MPa（提高50%）。断口学显示了韧窝、穿晶解理面、裂纹和微犁耕。在测试样品中，时效4h（180°C/4h, ASN-4）的复合材料磨损率最低。磨料和黏着磨损的结合是这些样品的主要磨损机制。总体而言，本研究为航空航天工业中制造各种部件的研究工作提供了见解。

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引用次数: 0

Manufacture and characterization of lightweight sand-plastic composites made of plastic waste and sand: Effect of sand types 由塑料废料和沙子制成的轻质砂-塑料复合材料的制造和特性：沙子类型的影响

Q1 Engineering

International Journal of Lightweight Materials and Manufacture

Pub Date : 2025-01-01 DOI: 10.1016/j.ijlmm.2024.08.004

Salih Mekideche , Mansour Rokbi , Zine El Abidine Rahmouni , Resego Phiri , Sanjay Mavinkere Rangappa , Suchart Siengchin

Over the past decade, many types of waste have been exploited as feedstocks in different industries. Recycled plastics are among the waste sought for several civil engineering applications. In this work, various plastic-bonded sand composites based on polypropylene waste and silica sand were produced to serve as building materials in many construction applications. Many tests and analysis were carried out in this investigation. First of all, two initial used compounds (waste PP and various silica sand) were analyzed by using ATR-FTIR, XRF, and grain size distribution. In the second time, the different plastic-bonded sand composites were analyzed by using ATR-FTIR to assess their composition. On the other hand, mechanical, and physical tests such as three-point flexural strength, compressive strength, water absorption, and optical observation were applied on different produced composite samples, then the results were examined and analyzed. The results showed that the developed composites exhibit commendable mechanical properties, especially flexural and compression resistance, and minimal water absorption. It is worth noting that the plastic-bonded sand containing Khobana sand showed the highest flexural and compressive strength at 11.56 ± 0.36 and 26.19 ± 0.27 MPa, respectively, along with the lowest water absorption rate of 0.46%. This study confirms its contribution to enhancing sustainability and promoting the principles of the circular economy.

在过去的十年中，许多类型的废物已被开发作为不同行业的原料。再生塑料是一些土木工程应用中寻求的废物之一。在这项工作中，以聚丙烯废料和硅砂为基础，生产了各种塑料粘结砂复合材料，作为建筑材料在许多建筑应用中。在这次调查中进行了许多试验和分析。首先，通过ATR-FTIR、XRF和粒度分布分析了两种初始使用的化合物（废PP和各种硅砂）。其次，利用ATR-FTIR对不同的塑结砂复合材料进行成分分析。另一方面，对不同制备的复合材料试样进行三点抗折强度、抗压强度、吸水率、光学观察等力学和物理测试，并对结果进行检验和分析。结果表明，所制备的复合材料具有良好的力学性能，特别是抗弯曲和抗压缩性能，吸水率最低。值得注意的是，含Khobana砂的塑性粘结砂的抗折强度和抗压强度最高，分别为11.56±0.36 MPa和26.19±0.27 MPa，吸水率最低，为0.46%。这项研究证实了它对提高可持续性和促进循环经济原则的贡献。

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引用次数: 0

Effect of electromagnetic stirring method on flow characteristics of A356 aluminum alloy melt 电磁搅拌对A356铝合金熔体流动特性的影响

Q1 Engineering

International Journal of Lightweight Materials and Manufacture

Pub Date : 2024-12-26 DOI: 10.1016/j.ijlmm.2024.12.004

ZeWen Li , Hao Chen , Zheng Liu

The effects of different stirring methods on the melt flow field and solidification structure of the alloy were studied by numerical simulation under the same stirring parameters. The results of numerical simulation and experimental study show that two-way continuous electromagnetic stirring (forward turning 6s, reverse turning 6s) is better than one-way continuous electromagnetic stirring (forward turning 12s) and two-way intermittent electromagnetic stirring (forward turning 6s, stop 1s, reverse turning 6s). A new process and process parameters for preparing semi-solid aluminum alloy slurry were formed and improved. When aluminum alloy melt was poured into the cast at 650 °C, the maximum melt flow rate was obtained under 4 A, 30 Hz, and bidirectional continuous electromagnetic stirring for 12s (forward rotation 6s, reverse 6s). At this time, the maximum X-axis flow rate of aluminum alloy melt was 82 mm/s. The maximum flow rate on the Y-axis is 72.5 mm/s, and the maximum flow rate on the Z-axis is 45.6 mm/s. At this time, the microstructure of the primary phase is the best, the average equal area circle diameter of the primary phase is 59.3 μm, and the average shape factor is 0.84.

通过数值模拟研究了在相同搅拌参数下，不同搅拌方式对合金熔体流场和凝固组织的影响。数值模拟和实验研究结果表明，双向连续电磁搅拌（正向转6s，反向转6s）优于单向连续电磁搅拌（正向转12s）和双向间歇电磁搅拌（正向转6s，停止转1s，反向转6s）。形成并改进了制备半固态铝合金浆料的新工艺和工艺参数。在650℃下将铝合金熔体倒入铸件中，在4 A， 30 Hz，双向连续电磁搅拌12s（正转6s，反向6s）下，熔体流动速率最大。此时铝合金熔体的x轴最大流速为82 mm/s。y轴最大流量为72.5 mm/s， z轴最大流量为45.6 mm/s。此时初生相的显微组织最好，初生相的平均等面积圆直径为59.3 μm，平均形状因子为0.84。

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引用次数: 0

Development of flame retardant and thermally stable acoustic green composites from waste hemp fibers reinforcement in fully biobased epoxy and benzoxazine hybrid thermosets 废大麻纤维增强全生物基环氧-苯并恶嗪复合热固性阻燃热稳定声学绿色复合材料的研制

Q1 Engineering

International Journal of Lightweight Materials and Manufacture

Pub Date : 2024-12-20 DOI: 10.1016/j.ijlmm.2024.12.006

Abdul Qadeer Dayo , Panuwat Luengrojanakul , Nuttinan Boonnao , Krittapas Charoensuk , Hariharan Arumugam , Cheol-Hee Ahn , Sarawut Rimdusit

This study presents an in-depth investigation of eco-friendly and renewable resources-based composites for lightweight structural applications by reinforcing waste hemp fibers (AWHF) in isosorbide (ISE) and neopentylglycol (NGDE) epoxy resins and epoxy/hydroquinone-furfurylamine (H-fa) benzoxazine hybrid matrix. The NGDE epoxy composite specimen produced the lowest results, and the sandwich-structured hybrid laminate specimen produced the best mechanical and thermal properties. The flexural strength and modulus values of sandwich structure hybrid laminate were recorded as 154.43 ± 7.14 MPa and 10.10 ± 0.35 GPa, respectively, while T₅, T_10, and Y_c values were recorded as 329 °C, 353 °C, and 23.78 %, respectively, and temperature tolerance (HRI) was estimated up to 178 °C. Moreover, the ISB/H-fa hybrid laminate showed self-extinguishing behaviour by crossing the LOI threshold value and got a V-0 rating for flame retardancy. The acoustic studies confirmed that the ISB-hybrid laminate had the highest sound absorption coefficient. The produced biobased sandwich structure composites with ISB/H-fa hybrid matrix showed better flame retardancy, sound absorption capacity, and mechanical strength are suitable for under-hood structural components in automobiles and other lightweight structural applications.

本研究深入研究了在异山梨酯（ISE）和新戊二醇（NGDE）环氧树脂和环氧/对苯二酚-糠胺（H-fa）苯并恶嗪混合基体中增强废大麻纤维（AWHF）的环保和可再生资源轻型结构复合材料。NGDE环氧复合材料试样的力学性能和热性能最低，而三明治结构混杂层压试样的力学性能和热性能最好。夹层结构复合层压板的抗弯强度和模量分别为154.43±7.14 MPa和10.10±0.35 GPa， T5、T10和Yc分别为329℃、353℃和23.78%，耐温值（HRI）可达178℃。此外，ISB/H-fa杂化层压板在超过LOI阈值后表现出自熄行为，阻燃性能达到V-0级。声学研究证实，ISB-hybrid层压板吸声系数最高。制备的ISB/H-fa混合基体生物基夹层结构复合材料具有较好的阻燃性、吸声能力和机械强度，适用于汽车发动机罩下结构部件和其他轻量化结构应用。

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引用次数: 0

A novel framework to identify delamination location/size in BFRP pipe based on convolutional neural network (CNN) algorithm hybrid with capacitive sensors 基于卷积神经网络（CNN）算法和电容传感器的BFRP管道分层位置/尺寸识别新框架

Q1 Engineering

International Journal of Lightweight Materials and Manufacture

Pub Date : 2024-12-16 DOI: 10.1016/j.ijlmm.2024.12.002

Wael A. Altabey

Failure detection-based Electrical Potential Change (EPC) is a promising technique. In this article, the internal layers delamination is inspected in basalt fiber-reinforced polymer (BFRP) pipe under long-term fatigue loading (LTFL) of internal pressure effect via an Electrical Capacitance Sensor (ECS) by evaluating the dielectric characteristics of pipe materials and classification between intact and delamination stats. The 3D maps of the capacitance array values and EPC distribution of node potential are tested. The maps can reflect delamination between pipe layers based on the researcher's previous works, however, because the pipes are modeled in 3D, therefore, the bending and twisted effects of the model make these maps not a good choice to accurately detect delamination location/size. Therefore, a new type of convolutional neural network (CNN) algorithm is adopted to train and test the EPC maps to evaluate delamination location/size. The training accuracy of the current technology (

P %

), recall rate (

R %

), and F-score (

F %

) are equal to

95.2 %

,

93.7 %

, and

90.9 %

respectively, which indicates that the current technology shows identification efficiency and accuracy of the technology. The proposed method results converge with available traditional methods in the literature for assessing the delamination location/size such as the response surface methodology (RSM), and the error band from the diagonal line is less than

4.86

and

1.14

degrees for location and size respectively, thus validating the proposed technique's reliability, accuracy, and applicability for the relevant structures.

基于故障检测的电势变化（EPC）技术是一种很有前途的技术。本文利用电容传感器（ECS）对玄武岩纤维增强聚合物（BFRP）管道在长期内压疲劳载荷（LTFL）作用下的内层分层进行了研究，通过对管道材料介电特性的评估，并将其分为完整状态和分层状态。测试了电容阵列值的三维图和节点电位的EPC分布。根据研究者之前的工作，这些地图可以反映管道层之间的分层，但由于管道是三维建模的，因此模型的弯曲和扭曲效果使得这些地图不是准确检测分层位置/大小的好选择。因此，采用一种新型的卷积神经网络（CNN）算法对EPC图进行训练和测试，以评估分层的位置/大小。当前技术的训练准确率（P%）、召回率（R%）和F分数（F%）分别为95.2%、93.7%和90.9%，表明当前技术显示了该技术的识别效率和准确性。该方法结果与文献中已有的传统分层位置/尺寸评估方法如响应面法（RSM）收敛，分层位置和尺寸与对角线的误差范围分别小于4.86度和1.14度，验证了该方法的可靠性、准确性和对相关结构的适用性。

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引用次数: 0

Enhancing the performance of laser powder bed fusion through hybridization with bending 利用弯曲杂化技术提高激光粉末床熔合性能

Q1 Engineering

International Journal of Lightweight Materials and Manufacture

Pub Date : 2024-12-14 DOI: 10.1016/j.ijlmm.2024.12.003

Valentino A.M. Cristino , Rui FV. Sampaio , João P.M. Pragana , Ivo M.F. Bragança , Carlos M.A. Silva , Paulo A.F. Martins

This paper is focused on the hybridization of metal additive manufacturing with bending to shape thin-walled deposited materials into fully three-dimensional custom parts with specific angles. The presentation covers material deposition by laser powder bed fusion, material and formability characterization using tension and three-point bending tests, and proof-of-concept validation through bending a flat, cross-shaped, deposited plate into a slender three-dimensional double U-shaped part. The use of digital image correlation and finite element analysis supports the presentation as well as the design and creation of the part. Results underscore the significance of hybridizing metal additive manufacturing with bending due to the gains obtained in material usage and fabrication time of 87.9 % and 85.7 %, respectively. The overall methodology integrating material deposition, formability analysis, and combined experimental and finite element simulation of bending proves effective for designing hybrid metal additive-manufactured parts, providing a comprehensive framework for future research and development in this area.

本文主要研究了金属增材制造与弯曲的混合，将薄壁沉积材料加工成具有特定角度的全三维定制零件。该演示涵盖了激光粉末床熔合的材料沉积，使用张力和三点弯曲测试的材料和成形性表征，以及通过将平坦的十字形沉积板弯曲成细长的三维双u形部件来验证概念。使用数字图像相关和有限元分析来支持零件的呈现以及设计和创建。结果表明，混合金属增材制造与弯曲的重要性，材料使用量和制造时间分别提高了87.9%和85.7%。将材料沉积、成形性分析、弯曲实验与有限元模拟相结合的整体方法对混合金属增材制造零件的设计是有效的，为该领域的未来研究和发展提供了一个全面的框架。

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引用次数: 0

Effect of burnishing strategies on surface integrity, microstructure and corrosion performance of wire arc additively manufactured AZ31 Mg alloy 抛光策略对丝弧增材制造AZ31镁合金表面完整性、显微组织和腐蚀性能的影响

Q1 Engineering

International Journal of Lightweight Materials and Manufacture

Pub Date : 2024-12-04 DOI: 10.1016/j.ijlmm.2024.12.001

Shambhu Kumar Manjhi , Oyyaravelu R , Srikanth Bontha , A.S.S. Balan

AZ31 Mg alloy is an emerging material that has received considerable attention in aerospace, automotive, and temporary biodegradable implant applications owing to its attractive properties, such as low density, high specific strength, and biodegradability. Nevertheless, some shortcomings in Mg alloys are their low ductility, which is associated with challenging its manufacturing, and poor corrosion resistance associated with unreliable components. Therefore, a cold metal transfer wire arc additive manufacturing (CMT-WAAM) process is used to manufacture AZ31 Mg alloy and achieved 29.4 % ductility by controlling the gas porosity, keyhole porosity, and internal cracks. Further, severe plastic deformation is induced on the surface of deposited parts by low plasticity burnishing (LPB) with parallel and cross-pattern burnishing to modulate their surface to slow down the kinetics of the corrosion damage. The average surface roughness (S_a) of the cross-burnishing pattern is 0.235 μm, which is 123.6 % lower than the parallel burnished and 261.7 % lower than the milled specimens. The residual stress (RS) of WAAM is 40 MPa with a tensile nature; however, it is drastically reduced and develops compressive RS of 45 MPa under a parallel burnishing pattern and 62 MPa under a cross-burnishing pattern. Moreover, LPB with cross pattern deformed ∼395 μm depth of WAAMed AZ31 workpiece, which is ∼45 % higher than deformed depth (∼272 μm) by parallel pattern burnishing. The electrochemical corrosion rate of the WAAM specimen is 9.71 mm/year^, and it is reduced to 1.82 mm/year under LPB caused by compressive residual stress and grain refinement.

AZ31镁合金是一种新兴材料，由于其具有低密度、高比强度和可生物降解性等优点，在航空航天、汽车和临时生物降解植入物应用中受到了相当大的关注。然而，镁合金的一些缺点是其低延展性，这与其制造挑战有关，以及与不可靠的部件有关的耐腐蚀性差。因此，采用冷金属传递丝电弧增材制造（CMT-WAAM）工艺制备AZ31镁合金，通过控制气体孔隙率、锁孔孔隙率和内部裂纹，获得了29.4%的塑性。此外，低塑性抛光（LPB）通过平行和交叉抛光来调节其表面，以减缓腐蚀损伤的动力学，从而引起沉积零件表面的严重塑性变形。交叉抛光的平均表面粗糙度（Sa）为0.235 μm，比平行抛光试样低123.6%，比铣削试样低261.7%。WAAM的残余应力（RS）为40 MPa，具有拉伸性质；然而，在平行抛光模式下，它的压缩RS急剧减少，达到45 MPa，在交叉抛光模式下达到62 MPa。此外，具有交叉图案的LPB对WAAMed AZ31工件的变形深度为~ 395 μm，比平行图案抛光的变形深度（~ 272 μm）高~ 45%。WAAM试样的电化学腐蚀速率为9.71 mm/年，在压残余应力和晶粒细化作用下，LPB腐蚀速率降至1.82 mm/年。

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引用次数: 0

Friction stir extrusion: Parametrical optimization for improved Al–Si aluminum tube production 摩擦搅拌挤压：改进铝硅铝管生产的参数优化

Q1 Engineering

International Journal of Lightweight Materials and Manufacture

Pub Date : 2024-11-28 DOI: 10.1016/j.ijlmm.2024.11.003

Mostafa Akbari , Parviz Asadi , Fevzi Bedir , Naghdali Choupani

Friction Stir Extrusion (FSE) was employed to convert cylindrical LM13 ingots into pipes, utilizing three distinct designs of rotating tool heads. This study examined the influence of process variables, consisting of tool rotational speed and plunging speed, on key properties of the resulting products. The properties investigated encompassed the size of Si precipitates, microhardness, wear resistance, and ultimate compressive strength (UCS). To effectively establish the relationships between the process input variables and the resulting mechanical and microstructural characteristics of the produced pipes, an artificial neural network (ANN) was used. This established correlation was integrated into a hybrid multi-objective optimization framework to identify the optimal process parameters. The investigation determined the ideal configuration: a plunging rate of 31 mm/min, a rotational rate of 653 rpm, and tool design number 3.

采用搅拌摩擦挤压（FSE）将圆柱形LM13铸锭转化为管道，利用三种不同设计的旋转工具头。本研究考察了包括刀具转速和切削速度在内的工艺变量对最终产品关键性能的影响。研究的性能包括Si析出物的尺寸、显微硬度、耐磨性和极限抗压强度（UCS）。为了有效地建立工艺输入变量与生产管道的力学和微观组织特征之间的关系，采用了人工神经网络（ANN）。将建立的相关性整合到混合多目标优化框架中，以确定最优工艺参数。研究确定了理想的配置：下钻速度为31 mm/min，转速为653 rpm，工具设计编号为3。

引用次数: 0